The computational creativity community has been at the forefront of engaging with recent advances in deep learning, adopting early on generative models that are able to produce high-quality text and images. Such models offer varying degrees of realism and control to the artist, enabling the generation of results with artistic value.
Recent advances have brought forward models that can produce images from natural language prompts, using pre-trained image generative models guided by text descriptions [1]}.
The computational creativity community has seized this opportunity, has shared large bodies of code [2]}, [3]} and generated a large body of artwork, some of which has been curated online [4]}, [5]}.
